Umesh Krishnamurthy

University of California, Merced

Papers

1

Total Citations

2

H-Index

1

About

Umesh Krishnamurthy is a rising scholar in human-robot interaction, whose work investigates the psychological and social factors that shape trust in autonomous systems. His research centers on how design features—particularly physical anthropomorphism and gender presentation—influence people’s willingness to delegate responsibility to household robots. In his most-cited paper, “Physical anthropomorphism (but not gender presentation) influences trust in household robots” (2024), Krishnamurthy experimentally demonstrates that a robot’s humanlike physical form significantly affects trust when caring for objects, sensitive information, and living agents, while gender cues play a lesser role. This finding challenges assumptions about robot design and has practical implications for developers aiming to build trustworthy domestic assistants. Though early in his career, his work has already garnered attention for its rigorous methodology and timely relevance as robots become integrated into homes. Krishnamurthy’s contributions help clarify which design elements genuinely matter for user acceptance, offering a nuanced perspective that moves beyond simplistic anthropomorphism. His ongoing research promises to deepen our understanding of trust in human-robot relationships, making him a researcher to watch in this rapidly evolving field.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Physical anthropomorphism (but not gender presentation) influences trust in household robots
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of California, Merced

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago